[Solved] CECS451 Assignment 4

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  1. Solve the n-airports problem using gradient based optimization algorithm.
  2. Find n-airports.ipynb. ii. A random initial state is given as Figure 1a.

(a) An initial state (b) An optimal state

Figure 1: n-airports problem state

  • The objective function is given by


f(x1,y1,x2,y2,x3,y3) = XX(xi xc)2 + (yi yc)2

i=1 cCi

where n is the number of the airports and Ci is the set of cities whose closest airport is airport i.

  1. The goal of the program is determining the locations of airports that minimize theobjective function using gradient based optimization. By updating

(x1,y1,x2,y2,x3,y3) ← (x1,y1,x2,y2,x3,y3) − αf(x1,y1,x2,y2,x3,y3) where 0 1 is a constant, find an optimal location of the airports as Figure 1b.

  1. As shown in Figure 2, plot the objective function at every time of updating thelocations to terminate the algorithm. (The objective values may be different than the example.) vi. Submit your n-airports.ipynb.

Figure 2: Objective as a function of epoch


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[Solved] CECS451 Assignment 4
10 USD $